我国科技中介信息服务国际化若干思路

为了加快我国科技中介信息服务国际化进程,首先应积极构建联系我国区域之间的科技中介信息服务体系,尤其是开放式科技中介信息中心的建设。其次是构建我国联系各类创新主体在境内、境外之间的科技中介信息服务体系,加强与境外科技中介机构的信息交流;在此基础上,加快构建联系我国本土企业与跨国公司之间的科技合作的"桥梁",逐步形成开放式科技中介信息服务网络。     

基于普定某互通立交桥的施工技术研究

随着我国经济的快速发展,人民生活水平也不断提高,整个社会对交通等基础设施的建设要求越来越高,尤其是对于桥梁的建设需求也在日益增加,其中互通式立交桥在桥梁应用中可以称为一种典范。本篇论文结合普定某互通立交桥施工设计实例,通过分析互通立交桥的概况和初步设计执行情况,对桥梁的设计和施工技术要点进行分析研究,最后总结出相应的结论和建议。     

中国——东盟共建共享共有的发展极——环北部湾及其向孟加拉湾的延伸地带(中)

为了把环北部湾及其向孟加拉湾的延伸地带建设成中国-东盟共同的发展极,应优先建设实兑-元阳-田东-防城港能源大陆桥-亚洲南部能源大陆桥;建设中南半岛大陆桥-亚洲南部大陆桥-亚欧非大陆桥;建设桂林-茂名铁路、百色-崇左-防城港铁路;建设环北部湾高速铁路、上海-新加坡高速铁路;建设东兴-芒街国际孖都市.     

JSP与Web数据库的连接技术

介绍了用 JSP开发动态网站的优势及动态网站与后台数据库交换数据的速度、数据的安全性 ,即动态网站的性能均取决于 JSP与 Web数据库连接这一关键技术 ,给出了 JSP通过 JDBC与 Web数据库的连接方法以及对数据库的基本操作 ,同时给出 JSP在Resin for Windows环境下应用 Java Beans组件来具体实现与 Oracle数据库的连接及基本操作的实例。     

以杭州湾大桥为契机加速慈溪现代物流建设

杭州湾大桥的修建将对宁波慈溪市区域经济发展产生重大影响,慈溪将成为上海、杭州、宁波大都市经济圈——经济金三角的一个亮点。为此通过对慈溪现代物流的空间优势、杭州湾大桥对慈溪物流格局的影响等方面的分析,论述了慈溪现代物流的建设。     

Real-time squared: A real-time data set for real-time GDP forecasting

This paper uses real-time data to mimic real-time GDP forecasting activity. Through automatic searches for the best indicators for predicting GDP one and four steps ahead, we compare the out-of-sample forecasting performance of adaptive models using different data vintages, and produce three main findings. First, despite data revisions, the forecasting performance of models with indicators is better, but this advantage tends to vanish over longer forecasting horizons. Second, the practice of using fully updated datasets at the time the forecast is made (i.e., taking the best available measures of today's economic situation) does not appear to bring any effective improvement in forecasting ability: the first GDP release is predicted equally well by models using real-time data as by models using the latest available data. Third, although the first release is a rational forecast of GDP data after all statistical revisions have taken place, the forecast based on the latest available GDP data (i.e. the “temporarily best” measures) may be improved by combining preliminary official releases with one-step-ahead forecasts.     

刘江黄河大桥主桥运行环境下的振动测试

本文通过对刘江黄河大桥主桥运行环境下的振动实测,得到桥梁的在不同频率下的竖向加速度、横向加速度的响应振动稳定图,扭转振型及扭转频率,判断吊杆的损伤对横、竖向振动的影响,推知桥梁目前的运行状态。     

桥梁吊装施工技术

针对某电站上坝公路桥所处的地形、地理位置对桥梁吊装方面影响因素的分析,从而确定桥梁吊装方案;预应力空心板梁"钓鱼法"人字扒杆吊装技术方法的介绍与总结。     

Testing for coefficient constancy in random walk models with particular reference to the initial value problem

This article is concerned with Locally Best Invariant tests for coefficient stability in a univariate random walk coefficient regression model. In particular, we explore the effects that different assumptions about the initial value of the random walk process have on the form and asymptotic distribution of the resulting test statistics. When this initial value is allowed to be random, it is shown that the test statistics are either exactly the same, or possess the same asymptotic distributions, as when the initial value is fixed.     

A comparison of mixed frequency approaches for nowcasting Euro area macroeconomic aggregates

In this paper, we focus on the different methods which have been proposed in the literature to date for dealing with mixed-frequency and ragged-edge datasets: bridge equations, mixed-data sampling (MIDAS), and mixed-frequency VAR (MF-VAR) models. We discuss their performances for nowcasting the quarterly growth rate of the Euro area GDP and its components, using a very large set of monthly indicators. We investigate the behaviors of single indicator models, forecast combinations and factor models, in a pseudo real-time framework. MIDAS with an AR component performs quite well, and outperforms MF-VAR at most horizons. Bridge equations perform well overall. Forecast pooling is superior to most of the single indicator models overall. Pooling information using factor models gives even better results. The best results are obtained for the components for which more economically related monthly indicators are available. Nowcasts of GDP components can then be combined to obtain nowcasts for the total GDP growth.